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All Journal Jurnal Informatika Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat
Yahya, Yahya
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Library & Information Science Mathematics Other

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Penggunaan Algoritma K-Means Untuk Menganalisis Pelanggan Potensial Pada Dealer SPS Motor Honda Lombok Timur Nusa Tenggara Barat Yahya, Kurnia bin; Nasution, Martua Hamonangan
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.416 KB)

Abstract

Credit is the main product of savings and loan cooperatives to increase profitability. The greater the credit issued, the greater the benefits obtained by cooperatives. Each cooperative will package credit products in such a way as to attract the attention of every customer. However, cooperatives can find problems in the process of lending, such as the "Daruzzakah Rensing" Cooperative located in "Desa Rensing, Kecamatan Sakra Barat, Lombok Timur-NTB-Indonesia". The main products of the Cooperative "Daruzzakah Rensing" are savings and loans. In distributing credit, the cooperative always decides based on statistical data. This data is sometimes not useful if the supporting methods used to predict and classify the data are not appropriate. Therefore, this research requires a method that can classify and predict problematic and non-problematic customers. To answer this question, using the SVM (Support Vector Machine) algorithm to find out the level of accuracy in analyzing creditworthiness proposed by prospective debtors. The SVM algorithm is used to predict, classify, evaluate, and analyze credit. From the results of data processing carried out using the SVM algorithm (Support Vector Machine), it can be categorized as an excellent method, with an accuracy of 90.42% and AUC at 0.957. Accuracy of 90.42% means the SVM algorithm can provide decisions about feasible or not feasible in granting credit to customers who apply for loans.DOI : 10.29408/jit.v3i1.1814 
Tingkat Ketepatan Hasil Perhitungan Integrasi Numerik Menggunakan Bahasa Pemrograman C# Pada Metode Reimann dan Trapesium Lendrik, Kurnia Yahya; Sadali, Muhamad; Mahpuz, Mahpuz
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

Numerical integration is one of several subjects in the numerical method subject that is applied to various universities. The existence of numerical integration has various roles in decision making, especially in science and technology.The application of numerical methods, based on several studies, included: numerical completion of the system of linear equations using relaxation method, Numerical Differential Application in Digital Image Processing (Application of Differential Numeric In Digital Image Processing), comparison of Gauss-Legendre method, Gauss-Lobatto and Gauss- Kronrod on the numerical integration of exponential functions, decreasing the solitary wave equation with a numerical second-order Fourier series, numerical integration using the quadratic Gauss method with a hermit interpolation approach and legendary polynomials.From several studies that have been carried out by various parties, there has not been found an approach to solving numerical integration using one of the programming languages such as the C ++ language, Fortran language, C # language and others, therefore in this study, the research raised numerical problems, especially numerical integration using the C # programming language.To make research using the C # programming language about the completion of numerical integration, it was carried out using two methods, the reimann method and the trapezoidal method. Both of these methods are applied, resulting in a calculation approach to analytic values, absolute errors, relative errors and calculation accuracy.Accuracy calculation uses C # (C-Sharp) programming language on Reimann and Trapezoida (Trapezoid) methods to calculate the area of building under the curve, resulting in high accuracy (99.74%) when using the reimann method and 99.49% when using the trapezoidal method) greatly influenced by the number of segments used in the calculationDOI : 10.29408/jit.v2i1.981
Prediksi Jumlah Penggunaan BBM Perbulan Menggunakan Algoritma Decition Tree (C4.5) Pada Kantor Dinas Lingkungan Hidup dan Kebersihan Kecamatan Selong Kabupaten Lombok Timur Yahya, Yahya; Zuliana, Reni
Infotek : Jurnal Informatika dan Teknologi Vol 1, No 1 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

In the world of work or the world of education, even government or public agencies have used sophisticated electronic devices, especially computers. computers are widely used to help human work in completing their work to make it easier and more efficient. Because with our computers can be made easier in making information that is more understood by many people. Besides computers, software (software) is also very necessary in processing a data to make it easier for someone to process their data into more useful data. Environmental and Hygiene Office East Lombok District Selong District is one of the offices that receives fuel subsidies from the central government. Therefore, the prediction using the Decition Tree algorithm (C4.5) in calculating the amount of BBM usage needs to be done in order to optimize the use of BBM as well as possible. Because many officers or individuals are not responsible for cases due to misuse of subsidized fuel. With this prediction, usage can be adjusted optimally and excessive use can be overcome.DOI : 10.29408/jit.v1i1.895
Pengaruh Pertumbuhan Ekonomi Terhadap Tingkat Kesejahteraan Masyarakat Kecamatan Selong Kabupaten Lombok Timur – Nusa Tenggara Barat Menggunakan Algoritma Naive Bayes Yahya, Yahya; Bahtiar, Hariman
Infotek : Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

Sustainable Development Goals (SDGs) merupakan salah satu program dunia untuk mengatasi permasalahan beberapa hal yang menjadi issue dunia saat ini. Isu-isu dunia yang ingin ditangani antara lain: menghilangkan kemiskinan, hapus kelaparan, membangun kesehatan dan kesejahteraan yang baik, memberikan pendidikan berkualitas, menegakkan kesetaraan gender, tingkatkan air bersih dan sanitasi, tumbuhkan energi yang terjangkau dan bersih, ciptakan pekerjaan yang layak dan pertumbuhan ekonomi, tingkatkan industri, inovasi, dan infrastruktur, kurangi ketimpangan, memobilisasi kota dan komunitas berkelanjutan, mempengaruhi konsumsi dan produksi yang bertanggung jawab, atur aksi iklim, kembangkan hidup di bawah air, maju kehidupan di darat, menjamin kedamaian, keadilan, dan lembaga kuat, bangun kemitraan untuk mencapai tujuan. Tujuh belas komponen yang hendak dituntaskan menyeluruh di dunia, direncanakan tercapai target pada tahun 2030. Semua komponen yang menjadi problem dunia, akan dijadikan sebagai bagian yang akan menjadi target dalam penelitian ini. Salah satu yang menjadi fokus penelitian adalah komponen ekonomi. Data yang diperoleh di Kecamatan Selong, khususnya komponen ekonomi akan dikelola dan diolah menggunakan algoritma Naive Bayes. Setelah dilakukan pengolahan data menggunakan algoritma Naive Bayes, diperoleh nilai akurasi tertinggi pada percobaan menggunakan K-Fold Validation 9 dengan nilai akurasi 97.78% . Berdasarkan hasil olahan data menggunakan K-Fold Validation 9 dengan akurasi 97.78%, maka dapat ditarik kesimpulan bahwa masyarakat di Wilayah Kecamatan Selong sebagai masyarakat yang kehidupannya sudah mapan atau sejahtera.
Pengaruh Aplikasi C# dalam Proses Perhitungan Numerik Terhadap Solusi Persamaan Non Linier Yahya, Yahya; Mulyawan Nur, Amri
Infotek : Jurnal Informatika dan Teknologi Vol 1, No 2 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.597 KB)

Abstract

The solution in the process of completing numerical methods, especially "Non-Linear Equation Solutions", is determined by several criteria including: 1. Solutions will be obtained if tolerance found from the calculation results is numerically smaller or equal to the specified tolerance, depending on the criteria of the problem. 2. The solution will be obtained if the function value f (xn + 1) reaches zero (0). 3. The solution will be obtained if the xn + 1 value has a constant value (no changes). In several observations of non-liner equations, which are done manually, students cannot do it perfectly. This is due to the level of understanding of teaching materials or modules and algorithms used to experience difficulties, especially for several iterations in order to obtain the expected results. From the results of calculations that are done manually, using Microsoft Excel and using numerical applications that are made using the C # programming language, the results are found, among others: manual calculation of non-linear equations to get one of the roots of non-linear functions tends to be resolved in a short time so that the error rate and accuracy cannot be measured, Calculations made using Microsoft Excel, obtained an error rate of 0.158% and an accuracy rate of 99.842%. Calculations made using numerical applications using the C # programming language obtained an error rate of 0.004% and an accuracy rate of 99.996%DOI : 10.29408/jit.v1i2.901
Penggunaan Algoritma K-Means Untuk Menganalisis Pelanggan Potensial Pada Dealer SPS Motor Honda Lombok Timur Nusa Tenggara Barat Yahya, Kurnia bin; Mahpuz, Mr. Mahpuz
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.311 KB)

Abstract

Dilihat dari sisi konsumen, ada berbagai aspek yang mempengaruhi konsumen untuk membeli suatu kendaraan bermotor. Hal ini karena masing-masing orang memiliki minat dan kebutuhan yang berbeda. Oleh karena itu, tujuan dari penelitian ini adalah untuk mengetahui kelompok umur dan profesi apa saja yang menjadi pelanggan potensial di SPS Motor Honda Lombok Timur. Metode penelitian yang digunakan adalah metode analitik deskriptif, dimana peneliti mengambil data-data penjualan sepeda motor dari SPS Motor Honda Lombok Timur, yang selanjutnya diolah dan dianalisis menggunakan software Rapidminer 5. Hasil analisis data tersebut selanjutnya dideskripsikan dengan detail mengenai kelompok pelanggan potensial. Berdasarkan analisis yang telah dilakukan, dapat ditarik kesimpulan bahwa kelompok yang termasuk dalam pelanggan potensial dari SPS Motor Honda Lombok Timur adalah kelompok dengan kriteria umur berkisar 33-46 tahun  yang berprofesi sebagai wiraswasta dan petani, Hal ini disebabkan karena, pelanggan tersebut memiliki penghasilan dengan usia produktif. Sedangkan kelompok pelanggan yang tidak potensial ada 2 irisan yaitu yang pertama apabila kategori usia produktif tapi  tidak memiliki penghasilan dengan rentang umur 17-32 tahun dengan profesi pelajar dan wiraswasta. Kedua yaitu, apabila kategori usia tidak produktif dengan rentang usia 47-73 tahun dan tidak memiliki penghasilan dengan profesi  petani dan wiraswata.DOI : 10.29408/jit.v2i2.1447
Implementasi Algoritma Decision Tree Untuk Mengetahui Faktor Kredit Macet Dan Lancar Di Koperasi Serba Usaha Daruzzakah Rensing Lombok Timur Mahpuz, Mahpuz; yahya, yahya; wasil, wasil
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1778.089 KB)

Abstract

Credit is the main product of savings and loan cooperatives in an effort to increase profitability. The greater the credit issued, the greater the profit earned by a cooperative, each cooperative will package credit products in such a way as to be able to attract the attention of each customer. However, cooperative suati can find problems in channeling credit, such as those in the Daruzzakah Multipurpose Cooperative located in Rensing Village, West Sakra Subdistrict, East Lombok Regency, however, the cooperative some can find problems in channeling credit, such as those in the Daruzzakah Multipurpose Cooperative which is located in Rensing Village, West Sakra District, East Lombok Regency, in determining the creditworthiness of credit they always use statistical data, but the data does not guarantee whether during credit or non-performing loans. The Decision Tree algorithm will provide several options to see what factors are bad or current loans, this is done to classify which loans are smooth and bad so that in the future it can be anticipated early.DOI : 10.29408/jit.v3i2.2299
Penerapan Algoritma K-Nearest Neighbor Untuk Klasifikasi Efektivitas Penjualan Vape (Rokok Elektrik) pada “Lombok Vape On” YAHYA, KURNIA -; Hidayanti, Winda Puspita
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

Perusahaan yang dibangun dengan tujuan untuk menghasilkan barang atau jasa yang ditujukan untuk memenuhi kebutuhan konsumen juga untuk memperoleh keuntungan bagi perusahaan tersebut. Perusahaan sudah tentu memiliki tujuan yang sama yaitu mencapai target yang sudah direncanakan dan mampu menghasilkan pemasukan yang selalu meningkat disetiap tahunnya. Dan salah satu kegiatan usaha yang harus dilakukan agar perusahaan tetap berjalan dan berkembang adalah penjualan. Keputusan yang diambil pemegang tanggung jawab perusahaan akan mempengaruhi perusahaan dimasa depan. Salah satu keputusan yang harus ditentukan yaitu produk yang akan diproduksi dan dijual untuk periode selanjutnya. Dilihat dari era globalisasi saat ini bahwa usaha yang dapat mengikuti zaman yaitu produk rokok elektrik (Vape). Produk tersebut benar-benar diminati oleh kalangan anak muda hususnya para pria. Salah satu instansi yang mengambil keputusan untuk menggeluti bisnis tersebut yaitu Lombok Vape On. “Lombok Vape On” memiliki konsumen yang cukup banyak sehingga pendapatan yang didapat tentu banyak, akan tetapi pendapatannya tidak menentu dan tidak dapat diprediksi dengan baik setiap bulannya. Tujuan dari penelitian ini untuk mengklasifikasikan hasil penjualan dari Lombok Vape on untuk mengetahui efektifitas penjualan perbulannya agar toko tersebut dapat mengetahui pasang surut pemasukan yang didapat. Apabila instansi tersebut mengetahui tingkat penjualannya maka instansi tersebut dengan mudah mengubah strategi penjualan agar stabil dan meningkat. Untuk itu peneliti menerapkan metode K-Nearest Neighbor untuk mengklasifikasin masalah tersebut,dan diharapkan metode ini mampu mengatasi masalah pada “Lombok Vape On”.DOI : 10.29408/jit.v3i2.2279
The C# implementation of numerical calculation process on non linear equation solutions Yahya Yahya; Amri Muliawan Nur
Jurnal Informatika Vol 12, No 1: January 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.258 KB) | DOI: 10.26555/jifo.v12i1.a8355

Abstract

Solutions in the process of resolving numerical methods, especially "Solutions of Non Linear Equations", are determined by several criteria including: 1. Solutions will be obtained if the tolerances found from numerical calculations are less than or equal to the specified tolerances, depending on the criteria of the question. 2. The solution will be obtained if the function value f(xn +1) reaches zero (0). 3. The solution will be obtained if the value of xn+1 has a constant value (no change). In some observations of manual efforts to find non-linear equations solutions, students cannot do the calculation perfectly. This is due to lack of understanding of teaching materials or modules and also the algorithms that are difficult to grasp. Moreover, the calculation has to be done for several times iterations in order to obtain the expected results. Comparing the results of calculations done manually using Microsoft Excel and the result of calculations using numerical applications created using C# programming language, it concludes: non-linear equations manual calculation to get one of the roots of non-linear functions tend to not completed in a short time so the error rate and accuracy cannot be measured. The calculations performed using Microsoft Excel, obtained the error rate reaches 0.158% and the accuracy rate reaches 99.842%. Calculations performed using numerical applications using the C# programming language obtained error rate reached 0.004% and accuracy rate reached 99.996%.
Penggunaan Algoritma K-Means Untuk Menganalisis Pelanggan Potensial Pada Dealer SPS Motor Honda Lombok Timur Nusa Tenggara Barat Kurnia bin Yahya; Martua Hamonangan Nasution
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.416 KB) | DOI: 10.29408/jit.v3i1.1814

Abstract

Credit is the main product of savings and loan cooperatives to increase profitability. The greater the credit issued, the greater the benefits obtained by cooperatives. Each cooperative will package credit products in such a way as to attract the attention of every customer. However, cooperatives can find problems in the process of lending, such as the "Daruzzakah Rensing" Cooperative located in "Desa Rensing, Kecamatan Sakra Barat, Lombok Timur-NTB-Indonesia". The main products of the Cooperative "Daruzzakah Rensing" are savings and loans. In distributing credit, the cooperative always decides based on statistical data. This data is sometimes not useful if the supporting methods used to predict and classify the data are not appropriate. Therefore, this research requires a method that can classify and predict problematic and non-problematic customers. To answer this question, using the SVM (Support Vector Machine) algorithm to find out the level of accuracy in analyzing creditworthiness proposed by prospective debtors. The SVM algorithm is used to predict, classify, evaluate, and analyze credit. From the results of data processing carried out using the SVM algorithm (Support Vector Machine), it can be categorized as an excellent method, with an accuracy of 90.42% and AUC at 0.957. Accuracy of 90.42% means the SVM algorithm can provide decisions about feasible or not feasible in granting credit to customers who apply for loans.DOI : 10.29408/jit.v3i1.1814 
Co-Authors Bahtiar, Hariman Fathurrahman, Imam Hidayanti, Winda Puspita Intan Komala Dewi Mahpuz, Mr. Mahpuz Martua Hamonangan Nasution Muhammad Wasil Muhammad, Saiful Mulyawan Nur, Amri Nasution, Martua Hamonangan Nur, Amri Muliawan nurhidayati, nur ida Reni Zuliana Sadali, Muhamad suhartini Suhartini Winda Puspita Hidayanti Yupi Kuspandi Putra Zuliana, Reni